A Study On Prediction Of Lung Cancer Using Machine Learning Algorithms

Abstract Lung cancer is the second most dangerous disease worldwide which is curable if its diagnosis is done in earlier stages. Even with the rise in cancer diseases, researches have shown that the mortality rate of cancer patients is less. For the treatment of cancer patients, Machine learning and AI have been researched and employed for the early detection of this disease in the past years. Biomedical image processing and detection of data have been used in combination in order to devise new techniques. In this paper, image classification was performed and machine learning algorithms were applied on lung cancer disease dataset to calculate measures such as accuracy, sensitivity, etc. K-NN, Random forest and SVM algorithms have been used to analyze the initial stage lung cancer by applying these on the lung cancer dataset.